import torch.nn as nn
import torch.nn.functional as F

class MyLargeModel(nn.Module):
    def __init__(self):
        super(MyLargeModel, self).__init__()
        # 定义复杂的网络结构，可能包含多个卷积层、全连接层等
        self.layer1 = nn.Conv2d(in_channels=3, out_channels=64, kernel_size=3, padding=1)
        # ... 其他层定义 ...

    def forward(self, x):
        x = F.relu(self.layer1(x))
        # ... 前向传播逻辑 ...
        return x

model = MyLargeModel()
